This application link states it is for a single geographic location. We are also hiring into the below office locations for Data & Analytics. If you are interested in working in one of these other locations, please apply via this link and we will address location preferences during the interview process.
Locations include but are not limited to:
• Washington DC
• New York City
• Orange County
• Atlanta
Responsibilities:
•Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails financial data, and operational data
•Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
•Design, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
•Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, and Microsoft Azure
•Translate advanced business analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations
•Conduct business requirement capture and translation, hypothesis-driven consulting, work stream and project management, and client relationship development
Qualifications:
•Bachelor’s, Master’s degree or PhD from an accredited college/university in Computer Science, Computer Engineering or a related field
•Experience with multiple large scale and/or distributed processing methodologies such as Hadoop, Storm, Spark, etc., preferred
•Experience with both cloud and on-prem platforms, preferred
•Guide solutions to rapidly ingest, transform, engineer, and visualize data, both for ad hoc and product-level (e.g., automated) data & analytics solutions
•Experience with programming methodologies such as version control, testing, QA, and development methodologies such as Waterfall and Agile, preferred
•Fluency or previous coding experience in several programming languages such as: Python, Scala, or Java, with the ability to pick up new languages and technologies quickly, preferred
•Understanding of cloud and distributed systems principles, including load balancing, networks, scaling, in-memory vs. disk, etc.; and experience with large-scale, big data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, or Storm, preferred
•Ability to work efficiently under Unix/Linux environment or .NET, with experience with source code management systems like GIT and SVN, preferred
•Ability to apply data & analytics concepts to business problems and an understanding of how applying these concepts can provide business value and address client needs
•Excellent problem-solving skills, verbal/written communication, and the ability to explain technical and non-technical concepts |
•Targeted graduation dates from December 2017 through Summer 2018 |
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